Instructions to use Maits27/OnlySentimentBased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Maits27/OnlySentimentBased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Maits27/OnlySentimentBased")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Maits27/OnlySentimentBased") model = AutoModelForSequenceClassification.from_pretrained("Maits27/OnlySentimentBased") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 64514068d68e40010d7b56d01754e34b8010187b4f16abec3af0a34fc2e70f38
- Size of remote file:
- 1.11 GB
- SHA256:
- 58fdbd893ebb2050c291b06f4900d627ffdbfc947d8214486119b5400329b980
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